Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results

Random forest regression analysis on combined role of meteorological indicators in disease dissemination in an Indian city: A case study of New Delhi

(2021) Ramya Hariharan   Urban Climate

Gas consumption demand forecasting with empirical wavelet transform based machine learning model: A case study

(2021) Mohanad S. AL‐Musaylh et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Customizing SVM as a base learner with AdaBoost ensemble to learn from multi-class problems: A hybrid approach AdaBoost-MSVM

(2021) Zafar Mehmood et al.   KNOWLEDGE-BASED SYSTEMS

Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting

(2021) Pratima Kumari et al.   APPLIED ENERGY

GIS-based spatial prediction of recreational trail susceptibility in protected area of Sikkim Himalaya using logistic regression, decision tree and random forest model

(2021) Nemai Sahani et al.   Ecological Informatics

Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks

(2021) Sujan Ghimire et al.   Scientific Reports

Spatial heterogeneity modeling of water quality based on random forest regression and model interpretation

(2021) Feier Wang et al.   ENVIRONMENTAL RESEARCH

Predicting China’s energy consumption: Combining machine learning with three-layer decomposition approach

(2021) Cheng Zhou et al.   Energy Reports

Random forest regression for improved mapping of solar irradiance at high latitudes

(2020) Bilal Babar et al.   SOLAR ENERGY

Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms

(2020) Mohanad S. Al-Musaylh et al.   Energies

LSTM based long-term energy consumption prediction with periodicity

(2020) Jian Qi Wang et al.   ENERGY

Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend

(2020) Abdul Rahim Pazikadin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Verification of deterministic solar forecasts

(2020) Dazhi Yang et al.   SOLAR ENERGY

Gradient boosted regression model for the degradation analysis of prismatic cells

(2020) Fu-Kwun Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Prognostic study of ball screws by ensemble data-driven particle filters

(2020) Yafei Deng et al.   JOURNAL OF MANUFACTURING SYSTEMS

Determination of spent nuclear fuel parameters using modelled signatures from non-destructive assay and Random Forest regression

(2020) S. Grape et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

A Comparison of Hour-Ahead Solar Irradiance Forecasting Models Based on LSTM Network

(2020) Xiaoqiao Huang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization

(2020) Cheng Lian et al.   NEURAL NETWORKS

Understanding the role of individual units in a deep neural network

(2020) David Bau et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression

(2020) Safwan Mohammed et al.   Water

A Joint Long Short-Term Memory and AdaBoost regression approach with application to remaining useful life estimation

(2020) Xiaoyan Zhu et al.   MEASUREMENT

Deep neural network models for computational histopathology: A survey

(2020) Chetan L. Srinidhi et al.   MEDICAL IMAGE ANALYSIS

Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

(2020) Bixuan Gao et al.   RENEWABLE ENERGY

CNN-based multivariate data analysis for bitcoin trend prediction

(2020) Stefano Cavalli et al.   APPLIED SOFT COMPUTING

Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

(2020) Mohamed Abdel-Nasser et al.   IEEE Transactions on Industrial Informatics

Agnostic deep neural network approach to the estimation of hydrogen production for solar-powered systems

(2020) İlker Mert   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

A novel approach for global solar irradiation forecasting on tilted plane using Hybrid Evolutionary Neural Networks

(2020) Billel Amiri et al.   JOURNAL OF CLEANER PRODUCTION

Regional hydrological frequency analysis at ungauged sites with random forest regression

(2020) Shitanshu Desai et al.   JOURNAL OF HYDROLOGY

Multi-stage fault diagnosis framework for rolling bearing based on OHF Elman AdaBoost-Bagging algorithm

(2020) Tangbin Xia et al.   NEUROCOMPUTING

Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates

(2020) Jian-Yu Li et al.   IEEE Transactions on Cybernetics

Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN

(2020) Fan Liu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cites of queensland Australia

(2019) Sujan Ghimire et al.   JOURNAL OF CLEANER PRODUCTION

Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning

(2019) Myeongjun Jang et al.   INFORMATION SCIENCES

Day-Ahead Solar Irradiance Forecasting for Microgrids Using a Long Short-Term Memory Recurrent Neural Network: A Deep Learning Approach

(2019) Husein et al.   Energies

The role of renewable energy in the global energy transformation

(2019) Dolf Gielen et al.   Energy Strategy Reviews

Construction of prediction intervals for carbon residual of crude oil based on deep stochastic configuration networks

(2019) Jun Lu et al.   INFORMATION SCIENCES

Research on Short-Term Load Prediction Based on Seq2seq Model

(2019) Gangjun Gong et al.   Energies

Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

(2019) Ghimire et al.   Energies

Performance assessment of photovoltaic modules using improved threshold-based methods

(2019) Jing-Yi Wang et al.   SOLAR ENERGY

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

(2019) Sujan Ghimire et al.   APPLIED ENERGY

A two-stage minimax concave penalty based method in pruned AdaBoost ensemble

(2019) He Jiang et al.   APPLIED SOFT COMPUTING

Short and mid-term sea surface temperature prediction using time-series satellite data and LSTM-AdaBoost combination approach

(2019) Changjiang Xiao et al.   REMOTE SENSING OF ENVIRONMENT

Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction

(2019) Sujan Ghimire et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia

(2019) Mohanad S. AL-Musaylh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A novel deep neural network based on randomly occurring distributed delayed PSO algorithm for monitoring the energy produced by four dual-axis solar trackers

(2019) Mohammed Ali Jallal et al.   RENEWABLE ENERGY

Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study

(2019) Muhammad Aslam et al.   Energies

Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications

(2019) Weiguo Zhao et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment

(2019) Francisco J. Rodríguez-Benítez et al.   SOLAR ENERGY

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

(2018) Mohanad S. AL-Musaylh et al.   APPLIED ENERGY

An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia

(2018) Sancho Salcedo-Sanz et al.   APPLIED ENERGY

Smart Building: Use of the Artificial Neural Network Approach for Indoor Temperature Forecasting

(2018) Nivine Attoue et al.   Energies

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting

(2018) O. García-Hinde et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities

(2018) Sujan Ghimire et al.   REMOTE SENSING OF ENVIRONMENT

Prediction interval forecasting of wind speed and wind power using modes decomposition based low rank multi-kernel ridge regression

(2018) Jyotirmayee Naik et al.   RENEWABLE ENERGY

A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data

(2018) Shikhar Srivastava et al.   SOLAR ENERGY

Spatio-temporal Graph Deep Neural Network for Short-term Wind Speed Forecasting

(2018) Mahdi Khodayar et al.   IEEE Transactions on Sustainable Energy

Entity Highlight Generation as Statistical and Neural Machine Translation

(2018) Jizhou Huang et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting

(2018) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting

(2017) Mahdi Khodayar et al.   IEEE Transactions on Industrial Informatics

Minimum redundancy – Maximum relevance with extreme learning machines for global solar radiation forecasting: Toward an optimized dimensionality reduction for solar time series

(2017) Hassen Bouzgou et al.   SOLAR ENERGY

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

(2016) Ravinesh C. Deo et al.   APPLIED ENERGY

A novel Grouping Genetic Algorithm–Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs

(2016) A. Aybar-Ruiz et al.   SOLAR ENERGY

A review of performance criteria to validate simulation models

(2015) Joana Hora et al.   EXPERT SYSTEMS

Review and statistical analysis of different global solar radiation sunshine models

(2015) Milan Despotovic et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes

(2014) Sancho Salcedo-Sanz et al.   IEEE Geoscience and Remote Sensing Letters

Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization – Extreme Learning Machine approach

(2014) S. Salcedo-Sanz et al.   SOLAR ENERGY

Estimating the daily global solar radiation spatial distribution from diurnal temperature ranges over the Tibetan Plateau in China

(2013) Tao Pan et al.   APPLIED ENERGY

Prediction of monthly mean daily global solar radiation using Artificial Neural Network

(2013) V SIVAMADHAVI et al.   Journal of Earth System Science

Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables

(2013) Ji-Long Chen et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Proposed Metric for Evaluation of Solar Forecasting Models

(2012) Ricardo Marquez et al.   JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME

Forecasting solar radiation on an hourly time scale using a Coupled AutoRegressive and Dynamical System (CARDS) model

(2012) Jing Huang et al.   SOLAR ENERGY

Generation of synthetic daily global solar radiation data based on ERA-Interim reanalysis and artificial neural networks

(2011) Alvaro Linares-Rodríguez et al.   ENERGY

A New Approach for Solar Module Temperature Estimation Using the Simple Diode Model

(2011) Ghias Farivar et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Novel analytical hourly solar radiation models for photovoltaic based system sizing algorithms

(2010) Fatih Onur Hocaoğlu   ENERGY CONVERSION AND MANAGEMENT

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

(2010) A Khosravi et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Computation of monthly mean daily global solar radiation in China using artificial neural networks and comparison with other empirical models

(2009) Yingni Jiang   ENERGY

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY